In simple words, Artificial Intelligence is a concept that describes the behavior of machines closer to humans. It is a field of study that aims to design a machine that emulates human-like intelligence in a complex environment. This is an extensive field that mainly deals with self-learning, perceiving the environment, and solving complex problems. Though it is a field of ongoing research, it has made a quite dominant space for itself in the global industry. There is a scope for success in the research as well as the business application domain. Therefore, if you are interested in learning about AI in general, you can even construct a career in this domain. Be thorough with the Artificial Intelligence Online Training curriculum. Choose your domain mindfully and subsequently develop skills in that domain.
Now, let us proceed toward the next sections and delineate a few important details regarding this field.
Importance of Artificial Intelligence
AI has numerous versatile applications in higher-end enterprises as well as lower-end ventures. It is a utility technology that helps organizations in improving their business decisions, data intelligence, and core business processes. Essentially, it enhances the technological prowess of the organization and aids in controlling the business processes in a better way. Now, as far as business decisions are concerned, it is imperative that enterprises take care of the speed and accuracy of every decision. The AI tools help in that aspect and aid enterprises in formulating effective strategies. Furthermore, AI algorithms are also useful in developing advanced mathematical models such as predictive models utilizing concepts of machine learning and data science.
Now, let us proceed to the following section and discuss the types of Artificial Intelligence (AI).
Types of AI
It is an immensely big field with substantial implications for the overall technological growth of the industry. There are a lot of topics to comprehend in this domain. However, let us expound on the types of AI in this section first. There are primarily four types of AI as detailed in the pointers below:
· Reactive Machines
In non-technical terms, Reactive Machines are a kind of AI that are aware of their surroundings. The design renders the machine to be aware of the objects around it in a complex environment and makes decisions accordingly. Reactive Machines are capable of interpreting the world around them and then reacting to a situation. It does not have learning ability or memory to use when the situation arrives again. For example, Deep Blue is one specialized AI that is super smart in playing chess but does not hold any memory of the game. It has no awareness of the world outside the game of chess.
· Limited Memory
Now, machines with Limited Memory store information about past experiences. It helps the machine make a data-driven decision based on the information stored in the memory. However, it can only store a definite size of memory, which limits the application range. However, the machine is potent enough to offer predictions and analyze a data set. It is an upgraded version of the reactive machine. Moreover, it has a wide range of applications in Business Intelligence that requires machines to formulate decisions in an AI environment. The limited memory capability powers the system to automate a few processes, making the job of the user much easier. However, continuous feedback from the outside world is necessary.
· Theory of Mind
It is an ongoing research topic in this field. Though there has been theoretical progress, the extent and upside of this type of AI are largely unknown. It is a type of Artificial Intelligence Online that emulates human-like intelligence. The field aims to design machines that can emulate decision-making and can generate thoughts and emotions that impact it.
A self-aware AI fully replicates human consciousness. It is a type of AI of the highest order of advancement and can transform the business domain and global industries. A lot of research is being done and investment is being made in this aspect. Therefore, you can also enter the field as a researcher and contribute to progress in AI.
The AI field we see today is a product of astronomical progress made over the last couple of decades. In the present scenario, it impacts all industries and businesses with sophisticated solutions. It offers systems with limited memory and aids in the building of high-tech mathematical models like predictive models. The core importance of AI lies in upgrading business decisions, data management, and other important business processes. It is an interesting field to work in because of its vast application range and lucrative high-salary job prospects. You can start developing the skills by taking inputs from Artificial Intelligence Online Training. Obtain expertise in the practical aspects of AI and especially in the Business Intelligence domain.